The Stockwell Lab in Department of Biological Sciences is seeking an Associate Research Scientist as part of a collaboration with Penn State as part of the NIH Human Biomolecular Atlas Program (HubMAP), which seeks to map the human body at single cell resolution. We are seeking a data scientist with a passion for solving complex, open-ended problems. The scientist will participate in the development of novel algorithms for the integration of metabolic, lipidomic and proteomic information in 2D/3D in large-scale biological data sets.
The incumbent will be responsible for the following:
Development of a deep-learning model to improve the annotation of mass-spectrometry spectra from multiomics profiling.
Employing machine learning to prioritize single-cell omics
Assisting laboratory scientists with data analysis of DESI, SIMS, RNAscope data
Ph.D. in bioinformatics, machine learning, or deep learning or related field
Ability to clearly communicate complex ideas with co-workers.
Experience with feature design for 2D/3D imaging/visualization models.
Experience using Java, Python, R, Scala, or Matlab to organize and analyze complex data sets.
Experience with developing GUI interphase for streamline data processing.
Familiarity with mass spectrometry imaging data analysis workflows.
Experience in deep learning model development with GANs, LSTMs, and GRUs.
Familiarity with biological annotation and omics resources, such as LipidMaps, Human Metabolome Database.
Please upload a CV and cover letter detailing how your prior experience fits in with the lab and this position.
Columbia University is an Equal Opportunity Employer / Disability / Veteran
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